Best AI papers explained
A podcast by Enoch H. Kang
550 Episodio
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The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
Pubblicato: 09/05/2025 -
Limits to scalable evaluation at the frontier: LLM as Judge won’t beat twice the data
Pubblicato: 09/05/2025 -
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
Pubblicato: 09/05/2025 -
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Pubblicato: 09/05/2025 -
Prediction-Powered Statistical Inference Framework
Pubblicato: 09/05/2025 -
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Pubblicato: 09/05/2025 -
RM-R1: Reward Modeling as Reasoning
Pubblicato: 09/05/2025 -
Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy
Pubblicato: 08/05/2025 -
Decoding Claude Code: Terminal Agent for Developers
Pubblicato: 07/05/2025 -
Emergent Strategic AI Equilibrium from Pre-trained Reasoning
Pubblicato: 07/05/2025 -
Benefiting from Proprietary Data with Siloed Training
Pubblicato: 06/05/2025 -
Advantage Alignment Algorithms
Pubblicato: 06/05/2025 -
Asymptotic Safety Guarantees Based On Scalable Oversight
Pubblicato: 06/05/2025 -
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Pubblicato: 06/05/2025 -
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
Pubblicato: 06/05/2025 -
Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts
Pubblicato: 06/05/2025 -
You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation
Pubblicato: 06/05/2025 -
Interplay of LLMs in Information Retrieval Evaluation
Pubblicato: 03/05/2025 -
Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence
Pubblicato: 03/05/2025 -
Toward Efficient Exploration by Large Language Model Agents
Pubblicato: 03/05/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
